Inspur NF5468M5
Geekbench AI Score
782
Single Precision Score
866
Half Precision Score
589
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 16 2025 06:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon Silver 4210 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Inspur NF5468M5 |
| Motherboard | Inspur YZMB-01130-107 |
| CPU Information | |
|---|---|
| Name | Intel Xeon Silver 4210 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
296
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
605
112.4 IPS |
|
|
Image Classification (Q)
|
99% |
138
25.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
604
9.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
254
4.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
1375
1.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1433
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1781
2.09 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
85% |
201
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
665
7.90 IPS |
|
|
Face Detection (HP)
|
100% |
760
9.04 IPS |
|
|
Face Detection (Q)
|
97% |
819
9.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
1397
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1414
10.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1294
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1835
2.36 IPS |
|
|
Style Transfer (HP)
|
100% |
1849
2.38 IPS |
|
|
Style Transfer (Q)
|
98% |
3927
5.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1037
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
746
995.1 IPS |
|
|
Text Classification (HP)
|
100% |
716
955.5 IPS |
|
|
Text Classification (Q)
|
92% |
323
434.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (Q)
|
58% |
292
6.85 IPS |
